Spatial dimensions of Big Data jobs for efficient cluster job scheduling

The Departments of Electrical and Electronics Engineering (EEE) and Computer Science and Engineering (CSE) jointly present a technical talk on “Exploiting the Spatial Dimensions of Big Data Jobs for Efficient Cluster Job Scheduling” on August 14, 2021, Saturday, at 5:00 pm (IST). Dr Akshay Jajoo, industrial researcher, will enlighten the students and researchers on his PhD thesis which focuses on developing novel learning and scheduling algorithms for distributed jobs in clouds.

The session, coordinated by Dr Tousif Khan N, Head of the Department of Electrical and Electronics Engineering, will cover the details of the concepts, use cases, and involved technology overview. Avid researchers and prospective industrialists are welcome to join the event.

About the Speaker:
Dr Jajoo earned his doctoral degree in computer science from the esteemed Purdue University, USA. His thesis proposes, validates, and designs systems that employ learning algorithms exploiting spatial dimensions. His research focussed on the use of spatial dimensions for efficient scheduling of distributed jobs and to speed up Coflows and big data jobs. While doing B. Tech at IIT Guwahati, he was awarded Gold Medal for academic achievement, extracurricular activities, and community service. On account of his outstanding academic record, Dr Jajoo was granted different scholarships to pursue research in France and Germany. He has also been a member of ISSA, ACM, and CERIAS.

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